Magistracy
Speciality Name:
Big Data in Geodesy
Faculty:
Geography and Environmental Sciences
Qualification:
- Scientific and pedagogical direction - Master of Engineering Sciences
- Model of graduating student
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Mandatory
disciplines
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Elective
disciplines
- Professional
-demonstrate in-depth knowledge of the current state and trends in the development of scientific knowledge in the field of geodesy, geodynamics and remote sensing and own methods of independent research and interpretation of the results of geodetic modeling in the geoinformation geodesy system.
-own software methods for office processing of topographic and geodetic surveys, construction of objects, land surveying and make their own original contribution to projects of geodetic monitoring works to study deformations of buildings and engineering structures.
-find and apply simulation solutions to the scientific problem of spatial data and algorithms for optimal solutions for processing big data in construction modeling, taking into account the survivability of building structures and analysis of the life cycle of a construction object.
-use the methodology for assessing the accuracy of the results of measurements of lengths, angles, elevations and functions to equalize the values of coordinates, azimuths and line lengths in the field of geodesy, geodynamics, geotechnology and remote sensing.
-apply methods and technology for the production of engineering and geodetic surveys, carry out activities in the field of engineering surveys for construction, geotechnical conditions during the development of oil and gas fields and solid metals.
-to use a differentiated approach in selecting the types of geodetic modeling of the structure and dynamics of different spatial systems (geosystems) and explain the features of geodetic modeling methods using different environmental monitoring and control systems.
-Apply computer modeling methods to justify the safe operation of building facilities and find optimal solutions in construction design, as well as perform calculations of buildings and structures using the finite element method, probabilistic and mathematical modeling.
-apply cloud technologies for big data analytics to solve the scientific problem of the construction industry, taking into account the visualization of graphical data and machine learning in construction.
-apply digital control and design technologies in construction in accordance with regulatory and technical documentation for construction and cloud technologies for big data analytics.
-to consider options for geodetic control in the development of megapolitan areas in built-up areas and to apply different methods of complex and thematic monitoring in geodetic analysis of spatial systems.
-justify the organization of design work, taking into account the mining of big data and machine learning, and carry out options for modeling Business Intelligence when processing big data in geodesy.
-interpret and generalize modern scientific knowledge in the field of big data in geodesy and characterize the concepts of interdisciplinary knowledge in geodetic sciences for the purpose of application in educational and research activities.
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Data Analysis During the Construction of Buildings and Structures
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to analyze big data in the construction of buildings and structures in application programs and use existing solutions for data processing.
When studying the discipline, the methods of data processing in the application complexes Lira-CAD, Microsoft Project and Autodesk Revit are considered in the design of building structures and in the technological design of construction production.
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Foreign Language (professional)
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose is to acquire and improve competencies by international standards of foreign language education and to communicate in an intercultural, professional, and scientific environment. A master's student must integrate new information, understand the organization of languages, interact in society, and defend his point of view.
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History and Philosophy of Science
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Purpose: Understanding of modern philosophy as a system of scientific knowledge, including worldview in rational-theoretical comprehension. The discipline includes aspects of the evolution and development of scientific thinking, historical moments, the contribution of scientists and scientific schools to the formation of science, and ethical and social aspects of scientific activity.
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Organization and planning of research
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the course is to develop the ability to demonstrate knowledge of the problem, task and stages of development of scientific and applied research in the field of construction engineering.
When studying the discipline, traditional and modern principles of improving the regulatory and technical base and prospects for the development of applied methods of construction design are considered.
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Pedagogy of Higher Education
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Purpose: To provide pedagogical theories and practical strategies for effective teaching in higher education, fostering critical thinking, and academic success. The course explores instructional methods, curriculum design, assessment techniques, and classroom management strategies preparing educators to create inclusive and stimulating learning environments.
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Psychology of management
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Formation of knowledge about the fundamental concepts of management psychology for the practical application of the most critical aspects of management in professional interaction. Basic principles of management psychology, personality in management interactions, management of personality behavior, modern ideas, psychology of managing group phenomena, motivation, and practical reflection.
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Modern Problems in Geodesy
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to form the ability to evaluate technical and technological problems and achievements of geodesic science, taking into account the needs of society in spatial information, its content, to solve problems of a fundamental and applied nature. When studying the discipline, the problems of the modern geodesic industry, as well as their connection with GIS technologies, are considered.
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Building Norms and Rules Are in Engineer-geodesic Researches
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to form the ability to evaluate normative documents in engineering and geodetic surveys for construction, to comprehensively study the natural and man-made conditions of the region, to make a forecast of possible changes in these conditions when interacting with construction objects. When studying the discipline, the sources of norms and rules of survey work are considered: General technical requirements and rules for the production of engineering and geodetic surveys, construction norms and rules in engineering and geodetic surveys for construction.
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Justification of the Safety of Operation of Construction Objects
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to analyze computer modeling methods to justify the safety of the operation of construction objects.
When studying the discipline, the methods of computer modeling of construction objects in operation taking into account the time factor, simulation of emergency situations, determination of the survivability of building structures, information analysis of the life cycle of a construction object are considered.
Data for 2021-2024 years
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Mathematic modeling and data analysis management in construction and geodesy
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The aim of the course is to study the mathematical apparatus to the solution of practical problems of construction and geodesy necessary to solve research and applied problems of analysis and optimization of typical organizational and technological situations that arise during the construction of the facility.
Will be studied: methods of modeling and development of mathematical models in construction and geodesy, simulation of frame work in applied programs.
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Design in Geodatabases
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to evaluate the process of creating a GEODATA database, performing a set of standard GIS design operations. When studying the discipline, we consider the use of information sources in the development and preparation of plans of various scales and purposes in geodesy, geographical objects represented as points, lines, polygons or rasters, as well as their tabular attributes of image generation tools.
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Modern survey in instruments and technology
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to form the ability to use modern geodetic devices in solving modern scientific and technical achievements in geodesy. When studying the discipline, the methodological basis for understanding the principles of measurement and processing the results of engineering and geodetic surveys, satellite positioning systems (GPS, NAVSTAR and GLONASS), and modern devices with high measurement accuracy is considered.
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Probabilistic calculation methods in construction and geodesy
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the course is to learn the methods of the concept of probability theory and their application to solving problems of the theory of structures, taking into account the reserve coefficients in the distribution of stiffness and loads.
The following will be studied: variability of design parameters and characteristics, consideration of the time factor in the calculations, modeling of impacts, variability of various loads, calculation of building structures by the probability of failure
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Geodetic control in construction
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to study modern methods of geodesic quality control of construction in order to comply with the tolerances established by GOST, SNiP or project. When studying the discipline, the methodology of planning geodetic works to control the quality of construction of objects and structures, creating a geodetic center basis for construction is considered.
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Calculation of buildings and structures using the Finite element Method
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the course is to study modern methods of solving problems of design and calculation of civil and transport structures with the use of modern information products and technologies that implement the finite element method in the SCAD Office and Lira-CAD software complexes.
We will study: the calculation of rod structures, the calculation of statically definable and statically indeterminate frames, the calculation of multi-span beams, arched structures, the stability of spatial metal structures by software complexes implementing the finite element method, in particular Lira-CAD.
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Big Data and Machine Learning in Geodesy
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to assess the impact of big data technologies on the activities of large enterprises and to offer options for the effective use of these technologies in the management of construction enterprises and area of Geodesy.
Within the framework of the discipline, the following aspects are considered: Big data and analytics. The model of the analytical process. Requirements for the analytical model. Visual data exploration and exploratory statistical analysis. Predictive analytics. Machine learning models in construction. Decision trees. Neural networks. Evaluation of predictive models. Descriptive analytics. Survival analysis. Credit risk modeling. Web analytics.
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Data Mining and Visualization
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to apply the basic approaches of data mining and develop algorithms for solving problems in construction.
Within the framework of the discipline, the following aspects are considered: Fundamentals of data analysis. Data collection and processing. Search for outliers and anomalies. Regression analysis. Linear regression. Polynomial regression. Metrics. Data classification. Cluster analysis. Search for features to predict. Plotting and developing an API for data visualization.
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Business Intelligence Models in Geodesy
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to extract knowledge from a large volume of data that allows making managerial decisions in Geodesy.
Within the framework of the discipline, the following aspects are considered: Business Intelligence( BI). Business Analytics. Definition and correlation of concepts; Data Consolidation, Analytical Thinking, Business Problems and Data Science, Introduction to Predictive Modeling, Data Science and Big Data. Definition and correlation of concepts from the point of view of business and engineering, Functional classes of analytical systems, Optimization systems, Expert systems, Machine learning systems, Data-based applications and services.
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Data Science for Geodesy
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to use analytical tools for data analysis, understand the structure of data, and work with machine learning models for Geodesy.
Within the framework of the discipline, the following aspects are considered: Basic concepts of data science. The essence of multi-dimensionality of data. Linear feature space. Spatio-temporal data. Basic concepts of data collection and systematization technologies, Neural network modeling and deep learning, Neural network training algorithm, Computer tools for designing intelligent systems, Forecasting methods under uncertainty, Artificial neural networks. Machine learning methods.
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Cloud Technologies for Big Data Analytics
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to use cloud technologies for processing and analyzing big data in business processes.
The discipline covers the following aspects: Overview of cloud architectures. The main classes of big data representation and processing tasks. Methods and technologies for preparing, storing, processing and analyzing big data. Development of cloud services. Cloud structure management systems. Cloud-based virtual software development environment.
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Smart Home Infrastructure Design
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to design, install and configure intelligent control systems for the infrastructure of the "smart home".
Within the framework of the discipline, the following aspects are considered: Architecture of intelligent control systems. Tools and technological processes for building intelligent systems. Methods of artificial intelligence in control tasks. Internet of Things. Problems of information and physical security of the "Smart Home" system. Troubleshooting. Typical schemes of "smart home". Cisco Packet Tracer for "smart home". Building a Smart Home system. Simulation of a "smart home" based on the Internet of Things using the Cisco Packet Tracer software.
Data for 2021-2024 years
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Pedagogical
- Type of control: Защита практики
- Description: Aim оf discipline: formation of the ability to carry out educational activities in universities, to design the educational process and conduct certain types of training sessions using innovative educational technologies.
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Research
- Type of control: Защита практики
- Description: The purpose of the practice: gaining experience in the study of an actual scientific problem, expand the professional knowledge gained in the learning process, and developing practical skills for conducting independent scientific work. The practice is aimed at developing the skills of research, analysis and application of economic knowledge.
Data for 2021-2024 years
